Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
jouini Manel
  • ESANN 2012 - Image reconstruction using an iterative SOM based algorithm [Details]
M. Mangeas
  • ESANN 1993 - Time series and neural: a statistical method for weight elimination [Details]
  • ESANN 1997 - New criterion of identification in the multilayered perceptron modelling [Details]
  • ESANN 2003 - Road Singularities Detection and Classification [Details]
Michail Maniadakis
  • ESANN 2011 - Time Experiencing by Robotic Agents [Details]
Andrea Mannini
  • ESANN 2021 - Deep Echo State Networks for Functional Ambulation Categories Estimation [Details]
Patrick Mannion
  • ESANN 2026 - Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance [Details]
Jean-Pierre Mano
  • ESANN 2005 - Organization properties of open networks of cooperative neuro-agents [Details]
Agata Manolova
  • ESANN 2013 - A new metric for dissimilarity data classification based on Support Vector Machines optimization [Details]
Ali Mansour
  • ESANN 2006 - A simple idea to separate convolutive mixtures in an undetermined scenario [Details]
A. Mansour
  • ESANN 2001 - A stochastic and competitive network for the separation of sources [Details]
Carlos J. Mantas
  • ESANN 2014 - Credal decision trees in noisy domains [Details]
Dominguez Manuel
  • ESANN 2018 - Interactive dimensionality reduction of large datasets using interpolation [Details]
Nikolay Manyakov
  • ESANN 2007 - Causality analysis of LFPs in micro-electrode arrays based on mutual information [Details]
Z. Mao
  • ESANN 1994 - Stability bounds of momentum coefficient and learning rate in backpropagation algorithm [Details]
Petros Maragos
  • ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
Marco Maratea
  • ESANN 2021 - In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models [Details]
Strickert Marc
  • ESANN 2007 - Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS [Details]
Francesco Marcelloni
  • ESANN 2004 - Neural network-based calibration of positron emission tomograph detector modules [Details]
Giulia Marchello
  • ESANN 2023 - Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM [Details]
Elena Marchiori
  • ESANN 2013 - Network community detection with edge classifiers trained on LFR graphs [Details]
E. Marchiori
  • ESANN 1996 - Constraining of weights using regularities [Details]
  • ESANN 2003 - Finding clusters using support vector classifiers [Details]
M. Marchiori
  • ESANN 1996 - Constraining of weights using regularities [Details]
Francesco Marchiori
  • ESANN 2026 - Model Selection Hijacking Adversarial Attack [Details]
Podda Marco
  • ESANN 2019 - Graph generation by sequential edge prediction [Details]
Alvaro Marco
  • ESANN 2026 - Lightweight Personalisation for MEMS-Based Wearables: A Padel Stroke Recognition Case Study [Details]
Signoretto Marco
  • ESANN 2012 - Joint Regression and Linear Combination of Time Series for Optimal Prediction [Details]
Alejandro Marcos Alvarez
  • ESANN 2012 - Supervised learning to tune simulated annealing for in silico protein structure prediction [Details]
Teodor Marcu
  • ESANN 2004 - Dynamic functional-link neural networks genetically evolved applied to system identification [Details]
Udi Margolin
  • ESANN 2017 - Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure [Details]
Viviana Cocco Mariani
  • ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
Viviana Cocco Mariani
  • No papers found